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The learning outcomes are as follows: to understand the different options available for funding; to illustrate the growth of the food services industry in India; and to understand a business model canvas.

Baromeeter (BOM), was a Delhi-based startup founded in the year 2016 by Rishabh Vyas, a 26-year-old MBA graduate. Currently, BOM has operations in Delhi-NCR with 50,000 monthly website visitors and 200-plus partner restaurants and cafes in Delhi-NCR with brands such as Imperfecto, Junkyard Café, Garam Dharam, Out of the Box, Boombox, Jungle Jamboree and many more. BOM also receives over 1,000 deal bookings and 200 plus party bookings monthly. Going forward, Rishabh has plans to expand to other cities such as Mumbai, Hyderabad, Pune and Bangalore. However, there are certain challenges. So far, the startup has raised funds from friends and families. He was confident that he had a compelling product. However, he knew he had to look for fresh investments to scale up. The existing funds may sustain the operations of the company for another six months. Rishabh was considering a number of options. However, whom to approach? Would banks be interested in lending money? How about participating in angel investor’s meet?

The case is suitable for a course in graduate and an undergraduate course in entrepreneurship. The case can be used to understand the business model canvas and to understand the funding options available for startups.

Teaching notes are available for educators only.

CSS 3: Entrepreneurship.

Privately financed infrastructure projects commonly use a project finance structure. Project finance is expected to facilitate investment flow in risky environments. The objective of this paper examines the link between the use of project finance and investments in risky environments.

Project Finance International database has been used as the data source for this study. 3,372 transactions from power, oil and gas, transportation, telecommunication, and water supply sectors have been considered means analysis and multi-variate regression models have been used in the analysis.

The average project cost in a developing country was higher than that of developed countries. Gearing ratio, however, was higher in the developed countries. This indicated that the projects had a lower level of inherent risk, which enabled them to get funded at high gearing levels. The proportion of foreign banks in the syndicate was higher in the developing countries, which indicated that the use of project finance has helped to attract investment from foreign investors.

Practitioners and project development companies in the developing countries should actively consider using project financing technique for achieving financial closure of large infrastructure projects. Simultaneously, policy makers should create appropriate supporting institutional framework (regulatory, legal, contractual arrangements) that supports the use of project finance.

As far as the authors know, this study uses a dataset that has not been used in the previous studies. The results of this paper strengthen the understanding of project financing.

One of the fastest growing service industries is long‐term care. Identifying the best performers in the industry in terms of service productivity is difficult because there is no single summary measure of outcomes, particularly quality outcomes. The purpose of the paper is to show the potential of data envelopment analysis (DEA) as a benchmarking method in long‐term care.

The paper provides background information on the long‐term care industry and describes the DEA methodology and applications to long‐term care. Data originated from two data sources with four databases furnishing information on 69 long‐term care facilities used.

In the hypotheses tested it was found that most of the models showed that for profit nursing homes were significantly more efficient than nonprofit. The exception was in the model that included the condition of patients as a co‐production input and then there was no significant difference in efficient performance between ownership types.

The paper shows the value of DEA as a method of benchmarking in the context of long‐term care.

The purpose of this paper is to provide an overview of the anti‐money laundering laws of Hong Kong, in particular the Organised and Serious Crimes Ordinance.

An analysis of the legislation with respect to anti‐money laundering as well as relevant case law.

Hong Kong authorities are serious about fighting money laundering crimes. The statutory scheme in Hong Kong is comprehensive and in line with international standards.

By discussing the key statutory provisions and the important cases, this paper provides a comprehensive overview of the anti‐money laundering laws of Hong Kong. This paper is of value to lawyers, prosecutors, academics, law students, etc. in not only Hong Kong, but in the region including mainland China.

The case is intended to enable the student to understand: The dynamics of SME, particularly in the adhesive industry entrepreneurial dilemma faced by the owner of an SME, faced with an existential crisis; the application of analytical frameworks such as Porter’s five forces, PESTEL and SWOT in strategy formulation; importance of long-term supplier relationships and focus on quality in retaining relationship clients.

The case is set up in the context of a SME in the adhesive industry in India where the Managing Director of the company Suntej Engineering Private Ltd was engulfed with questions on the future of the firm. The firm was faced with multiple challenges mostly from the external environment. The case could help students to appreciate the process of strategic decision-making by the owner of a small firm, in response to a crisis situation, and how his vast experience and entrepreneurial mind-set helps him to tide over the crisis.

Teaching Notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.

Strategy

The learning outcomes of this paper is to understand the working capital finances offered by bank; comprehend application by the company, loan proposal and bank procedure for additional finance; compute, analyze and interpret financial statements of company and its peers; and assess various factors to be considered while taking loan sanctioning decisions.

Sunshine had expanded its business by starting in-house manufacturing of a few stages of production of fasteners. Sunshine was in urgent need of additional finance for working capital and had applied to Rajya Bank of India Ltd. (RBIL), requesting to enhance working capital finance limits and other changes. Ruchit Mehta, Relationship Manager of S.G. Highway Branch of RBIL have to assess this request and include his evaluations in the proposal, which he had to present to Assistant General Manager of RBIL.

MBA or related program in finance courses such as financial management, corporate finance, financial statement analysis, bank management/finance and training program on “credit management” for bank employees.

Teaching Notes are available for educators only.

CSS 1: Accounting and Finance

In a power system, the purpose of automatic voltage regulator (AVR) is the voltage control of synchronous generator. Power system stability and security depends on the AVR.

The present work is concentrated on the precise terminal voltage control of AVR system and simultaneously maintaining the stability of the system. Therefore, an optimal proportional–integral–derivative (PID) controller is proposed. An optimization technique inspired from Mother Nature, i.e. water cycle algorithm (WCA) is used to evaluate the optimum parameter values of PID controller leading to WCA-tuned PID (WCA-PID). The performance of WCA-PID is compared with other controller reported in the literature.

Simulation results show that WCA-PID regulates the terminal voltage more preciously and accurately in comparison to other controller. Further, it is more robust toward parametric uncertainty, set-point tracking and disturbance rejection in comparison to other controller reported in the literature.

The work is not published anywhere else.

The purpose of the study is to investigate the long-run and short-run dynamic relationship between crude oil prices and the movement of Sensex for the period of 2000–2018.

The study uses the augmented Dickey–Fuller test for the presence of unit root, Johansen cointegration test for estimating the cointegration among the variables. Further, in the case of no cointegration found, the study employed the vector autoregression (VAR) model to estimate the long-run relationship and the Granger causality/Wald test for short-run relationship. The study also conducted tests for the prerequisites of the model: serial correlation, heteroskedasticity and normality of data.

The study found that both the variables, crude oil prices and Sensex are integrated of order 1, that is, I (1), and there is no cointegration between them. Further, the results proliferated from the VAR model unfold the marked effect of previous month crude oil prices (lag 1) on the movement of Indian stock market represented by Sensex considered as the benchmark index. Furthermore, VAR–Granger causality/block exogeneity Wald tests results indicated that there is a causal relationship between the crude oil prices and Sensex under the VAR environment. The model does not have any serial correlation and heteroskedasticity indicating toward the unbiased and robust estimates.

The study is conducted till the year 2018, and data for the present period (post-2018) is excluded due to ongoing trade issues between the USA and oil-exporting countries such as Iran. The current COVID-19 outbreak has also put serious issues. Due to limited time and availability of standardized data, researchers have considered Sensex as equity index only, but for more generalized research outcome few other equity indexes could have been taken for study.

The study is completely original in nature and is an extensive study of the relationship between the crude oil price and Indian stock market with reference to causality between the variables.